Rapid lumbar MRI protocol using 3D imaging and deep learning reconstruction.

Journal: Skeletal radiology
PMID: 36602576

Abstract

BACKGROUND AND PURPOSE: Three-dimensional (3D) imaging of the spine, augmented with AI-enabled image enhancement and denoising, has the potential to reduce imaging times without compromising image quality or diagnostic performance. This work evaluates the time savings afforded by a novel, rapid lumbar spine MRI protocol as well as image quality and diagnostic differences stemming from the use of an AI-enhanced 3D T2 sequence combined with a single Dixon acquisition.

Authors

  • J Levi Chazen
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY, 10021, USA.
  • Ek Tsoon Tan
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
  • Jake Fiore
    Department of Radiology & Imaging, Hospital for Special Surgery, 535 E 70th St, 3rd Floor, New York, NY, 10021, USA.
  • Joseph T Nguyen
    Biostatistics Core, Hospital for Special Surgery, New York, NY, 10021, USA.
  • Simon Sun
  • Darryl B Sneag
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America. Electronic address: sneagd@hss.edu.

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